Results 231 to 240 of about 302,884 (283)

Prospect of Ruthenium for Hydrogen Evolution Reaction in Alkaline Media through In Situ Monitoring

open access: yesAdvanced Energy Materials, EarlyView.
This perspective highlights how in situ/operando techniques enable real‐time tracking of active Ru‐based catalysts under alkaline HER conditions. By combining static descriptors with dynamic‐state insights, a design feedback loop is proposed to guide rational catalyst development beyond equilibrium models.
Jiwon Kim   +6 more
wiley   +1 more source

Technological change, capital deepening, and agricultural total factor productivity (TFP) growth: Cross‐country comparison of 18 OECD countries

open access: yesApplied Economic Perspectives and Policy, EarlyView.
Abstract This paper employs the data envelope analysis (DEA) to assess technological progress and its impact on agricultural total factor productivity (TFP) across 18 the Organization for Economic Cooperation and Development (OECD) countries from 1973 to 2015.
Yu Sheng
wiley   +1 more source

A Multiscale Pore Analysis Method for Polymer Electrolyte Membrane Fuel Cell Catalyst Layers Validated and Exemplified by Correlating Microstructure with Production Process Parameters

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
A multiscale pore analysis method is presented for polymer electrolyte membrane fuel cell catalyst‐coated membranes (CCMs), integrating mercury intrusion porosimetry, focused ion beam scanning electron microscopy image analysis via a custom MATLAB tool, and optical/atomic‐force microscopy.
Ahammed Suhail Odungat   +8 more
wiley   +1 more source

Exploring Salinity Gradient Power in Sweden: Key Factors, Machine Learning Predictive Modeling, and Life Cycle Assessment

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study optimizes salinity gradient power generation using reverse electrodialysis (RED) by analyzing key operational parameters through factorial experiments and machine learning. Life cycle assessment reveals RED environmental impact and sustainability compared to other renewables, offering insights into future material choices and system ...
Younes Mohammadi   +5 more
wiley   +1 more source

On the availability of anti-forensic tools for smartphones [PDF]

open access: yes, 2012
Aziz, Benjamin   +2 more
core  

Using Sensory Analysis and Stated Preference Valuation to Assess the Willingness to Pay for Fresh Tomato Attributes

open access: yesAgribusiness, EarlyView.
ABSTRACT This study combines sensory analysis and stated preference valuation techniques to assess the monetary value of organoleptic attributes of new tomato varieties. The tomatoes evaluated included two new varieties adapted to South Texas growing conditions, a commercial check, and tomatoes imported from Mexico.
Samuel D. Zapata   +3 more
wiley   +1 more source

Circularity, Sustainability, and the Quality of Coffee Sold via Vending Machines: What Do Italian Consumers Prefer?

open access: yesAgribusiness, EarlyView.
ABSTRACT Vending is an important sector in the daily lives of many people, and coffee is the most frequently consumed product in the European market. Like many other sectors, vending is responding to the challenge of sustainable development by taking various actions, such as offering increasingly ecologically sound coffee while maintaining/improving ...
Alberto Bertossi   +2 more
wiley   +1 more source

Price Transmission During Promotions: A Case Study of Spanish Milk Brands

open access: yesAgribusiness, EarlyView.
ABSTRACT Price promotion is the marketing tool typically used by retail brands to boost sales and gain market share. In this paper, we intend to investigate the price transmission mechanism among competitive brands in Spain when price reductions that are associated with price promotions take place.
Yasmine Bedoui   +2 more
wiley   +1 more source

Machine Learning for Organic Fluorescent Materials

open access: yesAggregate, EarlyView.
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong   +7 more
wiley   +1 more source

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